A new tool being used at Houston Methodist taps into artificial intelligence breast cancer diagnosis. Photo courtesy of Houston Methodist

In the medical field, billions of dollars are wasted each year — about $935 billion, but who's counting? According to a paper published by the JAMA Network, an estimated $75.7 billion to $101.2 billion is wasted through overtreatment. Of the many procedures that can lead to wasted resources, breast cancer biopsies are a major source of overtreatment. Houston Methodist Hospital is using artificial intelligence to create a more efficient and accurate Breast Cancer Risk Calculator, called iBrisk.

Breast cancer is something that plagues the lives of many women, and some men. According to the National Breast Cancer Foundation, one in eight women will be diagnosed with breast cancer in their lifetime.

Women are advised to start having annual mammograms to screen for breast cancer starting at age 40 to try to catch cancer in its earliest stages. With mammograms becoming a standard procedure, the process inevitably leads to more biopsies.

While more biopsies sound like the obvious course of action, Houston Methodist Hospital shares that out of 10,000 women biopsied, less than two will be positive while using the national standard. The result of a negative biopsy? Wasted time, resources, and money, as well as undue worry for the patient.

"It's not just wasteful. . .when you do an unnecessary procedure, you're potentially harming the patient," says Stephen Wong, Ph.D. After a negative biopsy, Dr. Wong explains that patients often begin to show emotional responses like high anxiety and low self-esteem. They often speculate the biopsies are wrong, and that they've had a missed cancer diagnosis by their medical provider.

Dr. Wong estimates that more than 700,000 patients have unnecessary biopsies in the breast cancer category alone.

Spearheading the iBrisk tool, Dr. Wong has found a way to utilize a smarter model than the current system for detecting breast cancer risk.

Hospitals across the country currently use the Breast Imaging Reporting and Database System score (BI-RADS), a system created by the American College of Radiology to determine breast cancer risk and biopsy decision-making.

To expand on BI-RADS data, Dr. Wong used multiple patient data points and AI technology to create the improved system. The iBRISK integrates natural language processing, medical image analysis, and deep learning on multi-modal BI-RADS patient data to make one of three recommendations: biopsy not recommended, consider biopsy, or biopsy recommended.

"While using AI, we try to simulate how the physician thinks," explains Dr. Wong. "The physician looks at different data: imaging, patient clinical data, demographic, history and other social factors. You don't rely on one particular thing."

To create iBrisk, Dr. Wong used 12 to 13 years of BI-RAD data at Houston Methodist Hospital to train the AI using deep learning.

He estimates that more than 80 percent of technical information is in the free text format, meaning unstructured data, in the United States.

"We applied an AI technique called natural language processing, which is using the computer to read the text automatically for us," explains Dr. Wong.

This data extraction tool was also used with imaging of mammogram ultrasounds by applying image analysis computer vision.

iBrisk also deploys deep learning, a machine learning tactic where artificial neural networks, inspired by the human brain, learn from large amounts of data. They determined approximately 100 parameters to analyze, including age, sex, socio-economic data, medical history, and insurance plans. After putting the data points into a deep learning method, the AI reduced the data points to the 20 risk indicators.

Houston Methodist Hospital used an estimated 11,000 cases for training, and then used 2,200 of its own data to test iBrisk. They have even been able to create unbiased independent validation by working with other hospitals like MD Anderson, testing their patients using iBrisk and confirming the results.

The potential of iBrisk to cut costs and contribute to less overtreatment has garnered support with other hospitals around the country. The breast cancer risk calculator is a collaboration with Dr. Jenny Chang of HMCC and breast oncologists at MD Anderson, UT San Antonio, and University of Utah Cancer Center.

While implicit racial bias has become a more prominent issue in the United States, Houston Methodist's iBrisk grants a neutral, unbiased lens. AI isn't immune to racial bias; in fact, computer scientist and founder of the Algorithmic Justice League, Joy Buolamwini, uncovered the large gender and racial biases of AI systems sold by IBM, Amazon and Microsoft in a 2019 article for Time.

With AI's history of racial bias in mind, Dr. Wong set out to create an impartial, fair system. "Our AI data is not sensitive to race. . .it's unbiased," he explains.

Houston Methodist Hospital plans to expand the iBrisk model to other forms of cancer in the future, including its next venture into thyroid and incidental lung nodule screenings.

The AI allows patients to save the stress of getting a biopsy.

"We are very careful to put any drugs or any procedure into clinical workflow until we are very sure you really have to pick this [outcome]," explains Dr. Wong. Using advanced risk detectors like iBrisk allows medical practitioners to make more thorough, informed decisions for patients looking into biopsies.

The categories are broken into low, moderate and high-risk groups. The low-risk groups have seen a 99.8 percent accuracy in results, missing only two cases out of a sample of 1,228. Patients that have fallen into the high-risk groups (leading patients to get a biopsy) have seen an 85.9 percent accuracy, compared to radiology, which is 25 percent accurate according to Dr. Wong.

Dr. Wong notes that patients that fall in the moderate section of the risk assessment can then have a dialogue with their physician to determine if they want to move forward with the biopsy. In the moderate category, there is a 93.4 percent accuracy.

If implemented, iBrisk would be able to reduce 75 percent of unnecessary biopsies, estimates Dr. Wong.

Currently, Houston Methodist Hospital is using AI technology outside of oncology, with the recent release of a tool that can diagnose strokes using a smartphone, announced in Science Daily. The tool, which can diagnose abnormalities in a patient's speech and facial muscular movements, was made in collaboration with Dr. Jay Volpi of Eddy Scullock Stroke Center at Houston Methodist Hospital.

"We are answering bigger questions," explains Dr. Wong, who looks forward to continuing to expand AI capabilities and risk calculators at Houston Methodist Hospital.

In the future, Dr. Wong looks forward to doing a multicenter trial to bring this technology outside of Texas.

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Texas is the 4th hardest working state in America, report finds

Ranking It

It's no secret that Texans are hardworking people. To align with the Labor Day holiday, a new WalletHub study asserts that the Lone Star State is one of the five most hardworking states in America for 2025.

The report ranked Texas the fourth most hardworking state this year, indicating that its residents are working harder than ever after the state fell into seventh place in 2024. Texas previously ranked No. 4 in 2019 and 2020, slipped into No. 5 in 2021 and 2022, then continued falling into sixth place in 2023. But now the state is making its way back to the top of the list.

WalletHub's analysts compared all 50 states based on "direct" and "indirect" work factors. The six "direct" work factors included each state's average workweek hours, employment rates, the share of households where no adults work, the share of workers leaving vacation time unused, and other data. The four "indirect" work factors consisted of workers' average commute times, the share of workers with multiple jobs, the annual volunteer hours per resident, and the average leisure time spent per day.

North Dakota landed on top as the most hardworking state in America for 2025 for another year in a row, earning a score of 66.17 points out of a possible 100. For comparison, Texas ranked No. 4 with 57.06 points. Alaska (No. 2), South Dakota (No. 3), and Hawaii (No. 5) round out the top five hardest working states.

Across the study's two main categories, Texas ranked No. 5 in the "direct" work factors ranking, and earned a respectable No. 18 rank for its "indirect" work factors.

Broken down further, Texans have the second-longest average workweek hours in America, and they have the 12th best average commute times. Texans have the 6th lowest amount of average leisure time spent per day, the report also found.

According to the study's findings, many Americans nationwide won't take the chance to not work as hard when presented with the opportunity. A 2024 Sorbet PTO report found 33 percent of Americans' paid time off was left unused in 2023.

"While leaving vacation time on the table may seem strange to some people, there are plenty of reasons why workers choose to do so," the report's author wrote. "Some fear that if they take time off they will look less dedicated to the job than other employees, risking a layoff. Others worry about falling behind on their work or are concerned that the normal workflow will not be able to function without them."

The top 10 hardest working states are:

  • No. 1 – North Dakota
  • No. 2 – Alaska
  • No. 3 – South Dakota
  • No. 4 – Texas
  • No. 5 – Hawaii
  • No. 6 – Virginia
  • No. 7 – New Hampshire
  • No. 8 – Wyoming
  • No. 9 – Maryland
  • No. 10 – Nebraska
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This story originally appeared on CultureMap.com.

Houston femtech co. debuts new lactation and wellness pods

mom pod

Houston-based femtech company Work&, previously known as Work&Mother, has introduced new products in recent months aimed at supporting working mothers and the overall health of all employees.

The company's new Lactation Pod and Hybrid Pod serve as dual-use lactation and wellness spaces to meet employer demand, the company shared in a news release. The compact pods offer flexible design options that can serve permanent offices and nearly all commercial spaces.

They feature a fully compliant lactation station while also offering wellness functionalities that can support meditation, mental health, telehealth and prayer. In line with Work&'s other spaces, the pods utilize the Work& scheduling platform, which prioritizes lactation bookings to help employers comply with the PUMP Act.

“This isn’t about perks,” Jules Lairson, Work& co-founder and COO, said in the release. “It’s about meeting people where they are—with dignity and intentional design. That includes the mother returning to work, the employee managing anxiety, and everyone in between.”

According to the company, several Fortune 500 companies are already using the pods, and Work& has plans to grow the products' reach.

Earlier this year, Work& introduced its first employee wellness space at MetroNational’s Memorial City Plazas, representing Work&'s shift to offer an array of holistic health and wellness solutions for landlords and tenants.

The company, founded in 2017 by Lairson and CEO Abbey Donnell, was initially focused on outfitting commercial buildings with lactation accommodations for working parents. While Work& still offers these services through its Work&Mother branch, the addition of its Work&Wellbeing arm allowed the company to also address the broader wellness needs of all employees.

The company rebranded as Work& earlier this year.